Machine-Learning-in-Molecular-Sciences
Public2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.
artificial-neural-networksclusteringdelta-learning-ruledimensionality-reductionfeature-selectiongaussian-processeskernel-ridge-regressionlearning-curvemachine-learningparameter-learning
Creat：2020-02-14T15:16:36
Update：2023-10-30T05:20:39
https://nickcafferry.github.io/Machine-Learning-in-the-Molecular-Sciences/
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